Topic: Artificial Intelligence (AI)
The most valuable resource we have in the universe is intelligence, which is simply information and computation. However, in order to be effective, technological intelligence has to be communicated in a way that helps humans take advantage of the knowledge gained. The optimal way to solve this problem is a combination of human and machine intelligence
As cyberattacks become more refined, they will start mimicking our online traits. This will lead to a battle of the machines.
After less than eight months of development, the algorithms are helping intel analysts exploit drone video over the battlefield.
It's easy to get caught up in the idea that Artificial Intelligence (AI) will be one of two things: our destroyer or our savior. It's time to move beyond this dualistic narrative. The "either or" comparisons create fear or unrealistic expectations, neither of which pragmatically move society forward. Part of shifting this narrative is evolving a new
Intelligence agencies have a limited number of trained human analysts looking for undeclared nuclear facilities, or secret military sites, hidden among terabytes of satellite images. But the same sort of deep learning artificial intelligence that enables Google and Facebook to automatically filter images of human faces and cats could also prove invaluable in
We've heard of many different uses for AI within the medical field, including for prediction of heart attacks and detection of Alzheimer's. Now, it looks as though machine intelligence could be applied to early detection of cancer as well. A group of Japanese researchers has figured out a way to use AI to spot colorectal cancer tumors before they become
Apple's approach is typical of the company's ethos: it's focused on doing AI on your device instead. We saw this back in June 2016, when the company introduced "differential privacy" (using statistical methods to mask users' identity when collecting their data), and at WWDC this year when it unveiled its new Core ML API. The "neural engine" is just a
The Advances in Machine Learning to Improve Scientific Discovery at Exascale and Beyond (ASCEND) project aims to use deep learning to assist researchers in making sense of massive datasets produced at the world's most sophisticated scientific facilities. Deep learning is an area of machine learning that uses artificial neural networks to enable self-learning
"Lethal autonomous weapons threaten to become the third revolution in warfare," read the letter, which was also signed by the chief executives of companies such as Cafe X Technologies (which built the autonomous barista) and PlusOne Robotics (whose robots automate manual labor). "Once this Pandora's box is opened, it will be hard to close. Therefore we